Systems and methods for classifying documents for data loss prevention
US-9043247-B1 · May 26, 2015 · US
US10318090B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10318090-B2 |
| Application number | US-201414458097-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 12, 2014 |
| Priority date | Aug 13, 2013 |
| Publication date | Jun 11, 2019 |
| Grant date | Jun 11, 2019 |
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In particular embodiments, an apparatus includes a single electrode configured to passively receive a charge displacement and a change in characteristics of electromagnetic signals in an environment. The apparatus further includes a touch sensor, coupled to the single electrode, configured to detect a first input based on the charge displacement, and a second input based on the change in characteristics of electromagnetic signals in the environment.
Opening claim text (preview).
What is claimed is: 1. A method comprising: passively receiving a first signal at an electrode of a triboelectric sensor and an electromagnetic interference (EMI) sensor configured to detect contact, separation, proximity, or motion based on changes in EMI in the environment of the EMI sensor; analyzing the first signal using the EMI sensor or the triboelectric sensor; detecting, based on the first signal, a first contact, separation, proximity, or motion input to the triboelectric sensor and the EMI sensor; receiving a second signal from the electrode of the triboelectric sensor and the EMI sensor; performing either one of: when the first signal is analyzed using the EMI sensor and determined to represent the first contact, separation, proximity, or motion input, analyzing the second signal using the triboelectric sensor; or when the first signal is analyzed using the triboelectric sensor and determined to represent the first contact, separation, proximity, or motion input, analyzing the second signal using the EMI sensor; and detecting, based on the analysis of the second signal, a second contact, separation, motion, or proximity input to the triboelectric sensor and the EMI sensor. 2. The method of claim 1 , wherein the first signal is the second signal. 3. The method of claim 1 , wherein the second signal is received after the first signal. 4. The method of claim 3 , wherein: analyzing the first signal using the EMI sensor or the triboelectric sensor comprises analyzing the first signal using the EMI sensor; and the performing step comprises analyzing the second signal using the triboelectric sensor. 5. The method of claim 4 , wherein detecting, based on the analysis of the second signal, a second contact, separation, motion, or proximity input to the triboelectric sensor and the EMI sensor comprises detecting, based on analyzing the second signal using the triboelectric sensor, a contact input made by an object. 6. The method of claim 4 , wherein: the first input comprises a proximity input made by one or more objects; and the second input comprises a contact input made by the one or more objects. 7. The method of claim 4 , wherein: the first input comprises a proximity input made by one or more first objects; and the second input comprises a contact input made by one or more second objects. 8. The method of claim 7 , further comprising triggering, based on the proximity input made by the one or more first objects, a particular software application. 9. The method of claim 1 , wherein the first and second signals are received concurrently. 10. The method of claim 1 , wherein analyzing the first signal comprises classifying the first detected input as a contact, separation, proximity, or motion event based at least in part on a waveform of the first signal. 11. The method of claim 1 , wherein the analyzing the second signal comprises: characterizing the second signal into one or more frequency bands; and determining a current context by comparing the characterization of the second signal to one or more stored noise profiles associated with one or more pre-determined contexts. 12. The method of claim 1 , wherein: analyzing the first signal using the EMI sensor or the triboelectric sensor comprises analyzing the first signal using the triboelectric sensor; and the performing step comprises analyzing the second signal using the EMI sensor. 13. The method of claim 12 , wherein detecting, based on the first signal, a first contact, separation, proximity, or motion input to the triboelectric sensor and the EMI sensor comprises detecting, based on analyzing the first signal using the triboelectric sensor, a contact input made by an object. 14. A computer-readable non-transitory storage medium embodying logic that is operable when executed to: detect a first signal passively received at an electrode of a triboelectric sensor and an electromagnetic interference (EMI) sensor configured to detect contact, separation, proximity, or motion based on changes in EMI in the environment of the EMI sensor; analyze the first signal using either the triboelectric sensor or the EMI sensor and detect, based on the analysis, a first contact, separation, proximity, or motion input to the triboelectric sensor and the EMI sensor; and detect a second signal received at the electrode of the triboelectric sensor and the EMI sensor; perform either one of: when the first signal is analyzed using the EMI sensor and determined to represent the first contact, separation, proximity, or motion input, analyze the second signal using the triboelectric sensor; or when the first signal is analyzed using the triboelectric sensor and determined to represent the first contact, separation, proximity, or motion input, analyze the second signal using the EMI sensor; and detect, based on the analysis of the second signal, a second contact, separation, motion, or proximity input to the triboelectric sensor and the EMI sensor. 15. The medium of claim 14 , wherein the first signal is the second signal. 16. The medium of claim 14 , wherein the second signal is received after the first signal. 17. The medium of claim 16 , wherein: analyzing the first signal using the EMI sensor or the triboelectric sensor comprises analyzing the first signal using the EMI sensor; and the performing step comprises analyzing the second signal using the triboelectric sensor. 18. The media of claim 17 , wherein detecting, based on the analysis of the second signal, a second contact, separation, motion, or proximity input to the triboelectric sensor and the EMI sensor comprises detecting, based on analyzing the second signal using the triboelectric sensor, a contact input made by an object. 19. The media of claim 17 , wherein: the first input comprises a proximity input made by one or more objects; and the second input comprises a contact input made by the one or more objects. 20. The media of claim 17 , wherein: the first input comprises a proximity input made by one or more first objects; and the second input comprises a contact input made by one or more second objects. 21. The media of claim 20 , further embodying logic that is operable when executed to trigger, based on the proximity input made by the one or more first objects, a particular software application. 22. The medium of claim 14 , wherein the first and second signals are received concurrently. 23. The medium of claim 14 , wherein analyzing the first signal comprises classifying the first detected input as a contact, separation, proximity, or motion event based at least in part on a waveform of the first signal. 24. The medium of claim 14 , wherein the analysis of the second signal comprises: characterizing the second signal into one or more frequency bands; and determining a current context by comparing the characterization of the second signal to one or more stored noise profiles associated with one or more pre-determined contexts. 25. The medium of claim 14 , wherein: analyzing the first signal using the EMI sensor or the triboelectric sensor comprises analyzing the first signal using the triboelectric sensor; and the performing step comprises analyzing the second signal using the EMI sensor. 26. The media of claim 25 , wherein detecting, based on the first signal, a first contact, separation, proximity, or motion input to the triboelectric se
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